Dealing with Conflict in Local Planning: Reflections from Australian Planners

Planners routinely deal with issues involving conflict, regularly engaging with people who may be upset, angry and at times aggressive. Yet planners are not conflict resolution specialists and their role is not necessarily to act as mediator. The level of conflict they experience can be stressful and challenging. This paper reports on interviews conducted with local government planners in Melbourne, Australia, in which they discuss their experience with conflicts and reflect on their preparation for this challenging aspect of their profession. The results indicate the need for more emphasis on training in a range of personal and professional behaviours within planning education.     

Why Do Some Toddlers Help A Stranger? Origins of Individual Differences in Prosocial Behavior

This study investigated the influence of emotion on toddlers' prosocial behavior in instrumental helping tasks with an unfamiliar adult. The goals were to examine whether early prosocial behavior was affected by (1) the adult's expressions of sadness (in contrast to a neutral expression) as a cue of need and (2) toddlers' emotion understanding. Thirty‐five 18‐ to 20‐month‐olds participated in eight trials in which an experimenter either indicated need for assistance (experimental condition) or did not (control). In addition, the experimenter expressed either sadness or neutral affect in each trial. Toddlers' emotion understanding was assessed using maternal reports of children's emotion words. The experimenter's emotional expression alone was not associated with prosocial behavior, but toddlers helped more in experimental than control conditions. However, toddlers with larger emotion word vocabularies were marginally more prosocial when the experimenter expressed sadness, and girls provided more assistance than boys in experimental conditions. These findings highlight the complex influences of emotion on early prosocial motivation.     

Sexual risk behaviors among youth in the child welfare system

This study uses data from the National Survey of Child and Adolescent Well-Being (NSCAW) to provide estimates of sexual risk behaviors for 877 youth, age 11–14 at baseline, in the child welfare system. It examines the association between baseline psychosocial risk and protective factors on engagement in sexual risk behaviors after 36 months. It further compares rates of sexual risk behaviors between youth placed in out-of-home care and those who remained with their biological family. Key findings include a high rate of pregnancy, a high percentage of youth who initiated sexual activity at or before age 13 as well as a limited role of protective factors in moderating sexual risk behaviors. A history of placement into out-of-home care is not significantly associated with greater engagement in sexual risk behaviors. Implications for intervention development and child welfare policy for this population are discussed.     

The “other woman”

Based on interviews with 26 single women who have had long-term intimate relationships with married men, a power continuum of management styles is derived. At one end are women who are hyper-submissive; at the other end, women who are hyper-dominant. Reasons for ending the relationship and the role of the other woman in that decision are discussed. The kind of ending is classified into three types: the shock-out, the drag-out, and the peter-out. Author's Note: I wish to thank the women I interviewed. Without their words, there could be no study. To protect the identity of these women I have altered names, places, and occupations in this article.     

The Sea Monster: An Ethnographic Drama

The characters are Laurel, a sociologist, and Ernest, a novelist. They live together, and they have been writing, and talking about writing for years. There is also a discussant who lives in Laurel's study. The drama begins in a neo-colonial home in the heartland of America, where Laurel—who has been invited to be a “Discussant” of “Ethnographic Novels” at the Society for the Study of Symbolic Interactionism-Stone Symposium at St. Petersburg Beach—is waking up.     

Monte Carlo Simulation of Rodent Carcinogenicity Bioassays

In this paper we describe a simulation, by Monte Carlo methods, of the results of rodent carcinogenicity bioassays. Our aim is to study how the observed correlation between carcinogenic potency (beta or 1n2/TD50) and maximum tolerated dose (MTD) arises, and whether the existence of this correlation leads to an artificial correlation between carcinogenic potencies in rats and mice. The validity of the bioassay results depends upon, among other things, certain biases in the experimental design of the bioassays. These include selection of chemicals for bioassay and details of the experimental protocol, including dose levels. We use as variables in our simulation the following factors: (1) dose group size, (2) number of dose groups, (3) tumor rate in the control (zero-dose) group, (4) distribution of the MTD values of the group of chemicals as specified by the mean and standard deviation, (5) the degree of correlation between beta and the MTD, as given by the standard deviation of the random error term in the linear regression of log beta on log (1/MTD), and (6) an upper limit on the number of animals with tumors. Monte Carlo simulation can show whether the information present in the existing rodent bioassay database is sufficient to reject the validity of the proposed interspecies correlations at a given level of stringency. We hope that such analysis will be useful for future bioassay design, and more importantly, for discussion of the whole NCI/NTP program.     

Perspective: Risk Apportionment and Disease Intervention Strategies

The ultimate public health objective is the ability to predict and prevent disease, and not necessarily to identify an exhaustive list of potential disease risk factors. For any important public health outcome with multiple and potentially interrelated risk factors, an improved understanding of the contribution of individual and combinations of modifiable risk factors to the disease burden is essential for formulating an appropriate public health strategy. Partitioning techniques that divide the combined impact of multiple risk factors into exposure-specific components while taking into account the potential interrelations among those components, have been described in the epidemiological literature. In this article, we review and compare the available methods and options for such apportionment and apply them in a more general public health context as a method of selecting and prioritizing coronary heart disease (CHD) prevention strategies.